Active billiards: Engineering boundaries for the spatial control of confined active particles

Unlike gas molecules at equilibrium, the spatial organization of self-propelled particles can be very sensitive to what happens at the boundaries of their container. Understanding the link between boundary phenomena and bulk stationary distributions could enable the design of optimized container shapes for the geometric control of confined active particles. Here, we propose a boundary method based on the flux transfer formalism typical of radiometry problems, where surface elements transmit and receive "rays" of active particles with infinite persistence length. We demonstrate the power of this boundary method in the case of the swimming microalgae <i>Euglena gracilis</i> trapped in light-defined billiard geometries. Quite surprisingly, we found that <i>Euglena</i> scatters with a nearly Lambertian cosine law, resembling the behavior of blackbody radiation and consequently resulting in nearly uniform distributions inside simple cavity geometries. Nevertheless, leveraging our boundary method, we were able to design a stacked multistage billiard geometry, with a connection scheme between subunits that breaks spatial symmetry and achieves an exponential amplification of cell concentration between its two ends. Our method can be applied to confined active matter in contexts ranging from spatial control and sorting of microorganisms to the design of efficient navigation strategies for microscopic and macroscopic robots.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2025-09-19
DOI
https://doi.org/10.1073/pnas.2426715122
Citations
3
Primary Topic
Micro and Nano Robotics
Type
article
Field-Weighted Citation Impact
3.77
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article

Active billiards: Engineering boundaries for the spatial control of confined active particles

Szilvia Zita Tóth, András Búzás, Roberto Di Leonardo, Dávid Tóth et al.
3 citations
Proceedings of the National Academy of Sciences
Micro and Nano Robotics
3.77
article

Active billiards: Engineering boundaries for the spatial control of confined active particles

Szilvia Zita Tóth, András Búzás, Roberto Di Leonardo, Dávid Tóth, Lóránd Kelemen, Gaszton Vizsnyiczai, Pál Ormos
article en
3 citations

Abstract

Unlike gas molecules at equilibrium, the spatial organization of self-propelled particles can be very sensitive to what happens at the boundaries of their container. Understanding the link between boundary phenomena and bulk stationary distributions could enable the design of optimized container shapes for the geometric control of confined active particles. Here, we propose a boundary method based on the flux transfer formalism typical of radiometry problems, where surface elements transmit and receive "rays" of active particles with infinite persistence length. We demonstrate the power of this boundary method in the case of the swimming microalgae <i>Euglena gracilis</i> trapped in light-defined billiard geometries. Quite surprisingly, we found that <i>Euglena</i> scatters with a nearly Lambertian cosine law, resembling the behavior of blackbody radiation and consequently resulting in nearly uniform distributions inside simple cavity geometries. Nevertheless, leveraging our boundary method, we were able to design a stacked multistage billiard geometry, with a connection scheme between subunits that breaks spatial symmetry and achieves an exponential amplification of cell concentration between its two ends. Our method can be applied to confined active matter in contexts ranging from spatial control and sorting of microorganisms to the design of efficient navigation strategies for microscopic and macroscopic robots.

Proceedings of the National Academy of SciencesVol. 122(38)
HUN-REN Szegedi Biológiai Kutatóközpont (HU), Bioscience Research (US), Institute of Biophysics and Biomedical Engineering (BG), Institute of Nanotechnology (GB), Institute of Plant Biology (HU), Synergetics (Belgium) (BE), PATH To Reading (US), National Research Council (IT), Veroscience (United States) (US), Sapienza University of Rome (IT)
Openalex Percentile: Top 6%
Micro and Nano Robotics
3.77
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